Vietnamese-Legal-QA-RAG is a specialized dataset containing 420 rows for evaluating Retrieval-Augmented Generation systems in Vietnamese. It focuses on the Vietnamese legal domain and is designed to test multi-hop reasoning. The dataset was created by NamSyntax and was last updated on March 26, 2026.
Use Cases
- Benchmarking RAG system performance based on Vietnamese legal questions
- Evaluating multi-hop reasoning capabilities of LLMs based on legal domain queries
- Testing fact retrieval accuracy in Vietnamese legal contexts
Strengths
- 420 meticulously curated rows
- Specialized for the Vietnamese legal domain
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
Provenance
- Source
- NamSyntax
- Freshness
- Last updated 2026-03-26 20:57:01
- Geography
- Vietnam